Skip to main content

Data-sharing

Guidance for Local Authorities on Data Analytics in Children’s Social Care 

Posted by: , Posted on: - Categories: Data, Data collection, Data-sharing, Demographic data

Children’s Social Care is one of the most important functions the government carries out. Children who need help and protection deserve high quality and effective support as soon as a need is identified.   Data analytics tools, software that enables categorisation …

Protecting Model Updates in Privacy-Preserving Federated Learning

Posted by: and , Posted on: - Categories: Data, Data collection, Data-driven technology, Data-sharing, PETs Blogs

In our second post we described attacks on models and the concepts of input privacy and output privacy. ln our previous post, we described horizontal and vertical partitioning of data in privacy-preserving federated learning (PPFL) systems. In this post, we …

Data Distribution in Privacy-Preserving Federated Learning

Posted by: , , and , Posted on: - Categories: Data, Data collection, Data-driven technology, Data-sharing, PETs Blogs

This post is part of a series on privacy-preserving federated learning. The series is a collaboration between the Responsible Technology Adoption Unit (RTA) and the US National Institute of Standards and Technology (NIST). Learn more and read all the posts …

Privacy-Preserving Federated Learning: Understanding the Costs and Benefits

Posted by: and , Posted on: - Categories: Data, Data collection, Data-driven technology, Data-sharing

Privacy Enhancing Technologies (PETs) could enable organisations to collaboratively use sensitive data in a privacy-preserving manner and, in doing so, create new opportunities to harness the power of data for research and development of trustworthy innovation. However, research DSIT commissioned …

Privacy Attacks in Federated Learning

This post is part of a series on privacy-preserving federated learning. The series is a collaboration between CDEI and the US National Institute of Standards and Technology (NIST). Learn more and read all the posts published to date on the …

The UK-US Blog Series on Privacy-Preserving Federated Learning: Introduction

This post is the first in a series on privacy-preserving federated learning. The series is a collaboration between CDEI and the US National Institute of Standards and Technology (NIST). Advances in machine learning and AI, fuelled by large-scale data availability …

Supporting the adoption of privacy-enhancing technologies

Posted by: and , Posted on: - Categories: Data, Data-sharing, Responsible innovation

As set out in the UK government’s National Data Strategy, the CDEI has been exploring the role of privacy-enhancing technologies (PETs) in enabling trustworthy use of data. PETs have the potential to unlock innovation by enabling valuable data sharing and …

Privacy enhancing technologies for trustworthy use of data

Posted by: , Posted on: - Categories: Data, Data-sharing, Responsible innovation, Trust

The CDEI has been researching the role of privacy enhancing technologies (PETs) in enabling safe, private and trustworthy use of data. Privacy is a fundamental right. Organisations have an obligation to protect privacy, and must consider important legal, ethical, and …